Photoreceptor Cleaning via Grayscale Abnormality Detection
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Solution Overview
Problem
Conventional techniques for detecting and removing ozone blur in electrophotographic image forming apparatuses are inefficient, leading to unnecessary wear of the photoreceptor and reduced image quality due to erroneous detection of discharge product adhesion, especially when the adhesion is localized in the main scanning direction.
Innovation Solution
An image forming apparatus equipped with a detector that forms a test image, such as a dot half pattern or thin line pattern, to accurately detect grayscale abnormalities along the photoreceptor's surface, triggering a cleaning process only when linear blur is detected, thereby minimizing photoreceptor wear and ensuring high-definition image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cleaning member with high rubbing force is used to remove discharge product from the photoreceptor surface, then the discharge product removal effectiveness is improved, but the photoreceptor wear increases and lifetime is shortened
Solution Approach 1:
The system performs self-diagnosis by automatically detecting ozone blur occurrence through image density measurement, and autonomously activates the recovery mode without user intervention. This ensures timely discharge product removal while avoiding unnecessary cleaning operations that would wear the photoreceptor.
Solution Approach 2:
The system continuously monitors image density to detect ozone blur, uses this feedback to determine when cleaning is needed, and adjusts the recovery mode activation accordingly. This closed-loop control prevents both insufficient cleaning and unnecessary cleaning that would shorten photoreceptor life.
2Reliability
If the recovery mode is activated periodically or preemptively to prevent ozone blur, then image quality is maintained, but photoreceptor wear increases due to unnecessary cleaning operations
Solution Approach 1:
The system autonomously detects actual ozone blur conditions through image density measurement and activates recovery mode only when needed, eliminating the need for periodic or preemptive cleaning. This self-service approach maintains image quality while minimizing photoreceptor wear by avoiding unnecessary cleaning operations.
Solution Approach 2:
Instead of applying full cleaning operations periodically, the system applies cleaning action only partially - specifically when ozone blur is actually detected. This avoids excessive cleaning that would waste photoreceptor material while still maintaining image quality when needed.
3Extent of automation
If conventional detection methods are used that monitor temperature and humidity, then the system can preemptively apply recovery mode, but false detection occurs and photoreceptor wear increases
Solution Approach 1:
The system replaces indirect environmental monitoring (temperature and humidity sensors) with direct optical detection using image density measurement. This substitution provides accurate detection of actual ozone blur conditions on the photoreceptor surface, eliminating false detections while maintaining automated control.
Solution Approach 2:
The system uses real-time feedback from image density measurement to accurately detect discharge product adhesion. This direct feedback mechanism replaces unreliable environmental parameter monitoring, enabling precise automated detection and recovery mode activation only when actual ozone blur occurs.
4Reliability
If the cleaning member is activated frequently to ensure discharge product removal, then ozone blur is controlled, but user convenience deteriorates due to increased downtime for photoreceptor replacement
Solution Approach 1:
The system autonomously manages ozone blur prevention by detecting actual blur conditions and activating recovery mode only when needed. This eliminates unnecessary photoreceptor replacements, reduces downtime, and maintains user convenience while ensuring reliable ozone blur control through targeted cleaning operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables precise detection and removal of ozone blur, reducing photoreceptor wear and extending its lifespan while maintaining high-definition image quality by cleaning only when necessary, thus addressing the inefficiencies of existing methods.
Implementation Method 1
a discharge product such as ozone or nitrogen oxide is generated by ionization of air
Implementation Method 2
When the discharge product adhering to the surface of the photoreceptor absorbs moisture, electric resistance decreases and conductivity increases
Data Source
AI summary
An image forming apparatus includes: a toner image former that forms a toner image on an outer peripheral surface of a photosensitive rotating body and that transfers the toner image having been formed onto a transfer receiving object; a detector that detects a grayscale abnormality of the toner image on the photosensitive rotating body or the transfer receiving object; a cleaner that cleans the outer peripheral surface of the photosensitive rotating body; and a hardware processor that causes the cleaner to clean when the detector detects the grayscale abnormality at a same position in a main scanning direction per circumferential length of the photosensitive rotating body in a sub-scanning direction.